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E-raamat: Basic Protocols in Predictive Microbiology Softwares

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This volume provides an overview of the existing predictive microbiology software tools, describing the main characteristics of use and application. Chapters will guide readers through tool features and functionalities, and specific case studies. Written in the format of the Methods and Protocols in Food Science series, the chapters include an introduction to the respective topic, list necessary materials and reagents, detail well established and validated methods for readily reproducible laboratory protocols and contain notes on how to avoid or solve typical problems.

Authoritative and cutting-edge, Basic Protocols in Predictive Microbiology Softwares aims to ensure successful results in the further study of this vital field.

The role of predictive microbiology software tools in enhancing food
safety and quality.- Development and validation of microbial inactivation
models using bioinactivation4.- The USDA integrated Pathogen Modeling Program
(iPMP) and Pathogen Modeling Program.- Experimental design for predictive
models in microbiology depending on environmental variables.- Simulating
Bacterial Growth and Thermal Inactivation with the SymPrevius tool.-
Praedicere Possumus applied to foodborne pathogens.- Conducting a
microbiological risk assessment using MicroHibro toolbox.- FDA-iRISK
Protocol.- Food Safety Knowledge Lab (FSK-Lab) - a software supporting
efficient and harmonized exchange of data and models in food safety.- Using
FSK-Lab to join models in quantitative microbiological risk assessment.- A
guided process for validating product shelf-life with predictive software
tools: A case study of cured-raw meat by using MicroHibro.- Predictive
modelling and calibration for process control in the meat industry: a
Staphylococcus aureus case study.- Identification of microbial hazards in
foods and establishment of critical limits.
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